Amongst the elements often overlooked in existing studies, dynamic movement and temporal changes in the content of views-out have been suggested to have a high potential to improve its perceived quality and occupant satisfaction. Moreover, in past and ongoing view-out research, most view quality indicators and representation methodologies primarily rely on static time-independent views and fail to acknowledge the importance of including dynamic features in the viewing content. To address this research gap, the present study introduces a novel VR representation workflow to accurately capture dynamic views in experimental settings. This study is the first to examine VR's effectiveness in maintaining immersion and dynamism when studying daylit views-out, using original data based on human subjects. The results provide insights into VR's suitability for representing office window views and assess a new workflow employing a dual fisheye lens and scale model to depict views in physically-based IVE.