SPACE EVIDENCE: AN ORAL INTERVIEW INTERVIEW CORROBORATION METHOD RESEARCH BASED ON GENERATIVE SPACE ANALYSIS
Keywords: Cultural heritage, Oral interview, The built environment analysis, Machine learning, Quick generation of analysis images
Abstract. The oral interview is an essential component of heritage study fieldwork. However, due to the individual memory bias, quick verification of the content's validity about the built environment is required. This paper aims to provide an efficient method for verifying the authenticity of oral interviews by combining architectural heritage data with digital analysis techniques and using spatial analysis as evidence. The method is based on the image pre-processing of existing architectural drawings, the creation of multiple planes and models through parametric variation factors matrix, and the generation of analysis images using daylight analysis algorithms. The Pix2Pix model is also introduced as a basis for tagging the planes and the images of the analysis results according to its principles. Learning by pairing the labeled images enables the computer to generate image analysis based on a given plane figure for fast analysis in the built environment. Following this, the authenticity of the oral interview’s content can be quickly determined. This paper examines the industrial heritage of the Puqi Textile General Factory, which was formed under the idea of rapid construction during the Third Front construction, using the factory ’s built environment and related oral content as the basis for analysis and verification. The findings did not satisfy the poor working conditions described in the oral interviews. Therefore, the authenticity of the oral content is doubtful and requires further verification.