| As a unique type of architecture that carries historical memories and emotions,memorial exhibition architecture has important practical significance and social value.However,a large number of memorial exhibition architecture designed according to visual organization are mostly insufficient to guide users’ architectural experience which makes the space communication ambiguous.Facing the new demands for architectural experience,architects need to adopt exact and embodied design approaches based on the user’s architectural experience to achieve a more exact and powerful influence of the space.By analyzing user’s detailed and individualized body behaviors and its interaction with space in the actual situation,it can provide objective evidences and effective feedforward for the design process and update the design approaches gradually.With the development of microelectronics technology,embodied moving image captured by wearable cameras have the quality to record specific situations,conduct detailed inspections,and realize experience reproduction,which provides the possibility for the research of exact and individualized environmental behavior.At present,video analysis is still an emerging research in the study of users’ space experience,and the analysis approach matching with wearable cameras needs to be studied.Based on the above problems,this thesis first clarifies the relationship between the user’s body and memorial exhibition architecture,pointing out that behavior is the main representation of the interaction,indicating the important value and significance of the visitor’s behavior analysis,as well as the demands of updating analysis approaches.Secondly,the analytical method based on embodied moving image is introduced relying on the research project,which is composed of the data collection and analysis phases based on literature research and method innovation,and various types of data with their collection methods for visitors’ architectural experience evaluation are integrated.Thirdly,the analytical method based on embodied moving image as the core of the analytical method based on embodied moving image is constructed based on the operational mechanism-‘input-label-output’-of the embodied moving image database,and the types of data obtained from the embodied moving images are analyzed with setting its definition,identification standards,acquisition and transformation methods.The comparison with the data obtained by traditional non-interference behavioral observation proves that the embodied moving image data has higher accuracy and more dimensions,and,it’s reliable.Finally,based on the attention-value model,using embodied moving image data and related data,focus analysis and evaluation of the visitors’ architectural experience are conducted from behavior pattern,participation level and environmental perception,as a basis for the benefits of specific exhibition content or space.Finally,a comprehensive evaluation result is obtained based on the conclusions of the focus analysis,including the visiting streamline rationality,display form effectiveness and exhibition environment attractiveness,and the analytical method based on embodied moving image is evaluated with its value summarized,and make an outlook of it.As an innovation of traditional methods of behavioral research,analytical method based on embodied moving image provides intuitive,accurate and diverse analysis perspectives and low-cost analysis tool for individualized architectural experience analyze.High-precision,multi-dimensional embodied moving image data is of great value and significance for accurately analyzing the actual architectural experience of users in monumental buildings.The combination of embodied moving image data and relevant analysis resources can provide important new approaches for observing and understanding visitor behavior and the environment in which it occurs,and produce some new discoveries,providing new ideas for innovation in architectural design approaches,materials,digital information,and interactive exhibition forms.The whole thesis contains about 59 000 words,78 pictures and charts. |