A Framework for Quantifying the Temporal Visual Experience of Architecture

  • YEAR
    Maghool, Sayyed Amir Hossain
    Schnabel, Marc Aurel
    Moleta, Tane
    2020 Conference Papers
    Architectural Science, Design and Environment Science, Urban Science
    Conference Papers


In this paper, we propose a framework for the quantification of the temporal visual experience of architecture. This framework provides quantification of low-level visual features of architectural experience in the temporal domain. It facilitates the investigation of the interrelation between architecture and automatic physiological responses, resulting in more insights about how architecture impacts emotion. Thus, we implement four computational algorithms developed upon the processing fluency theory which were initially used for the study of visual regularities of abstract artworks. Furthermore, we illustrate the potentials of this framework by applying it to data gathered from a VR simulation of an existing building. Our case study suggests that this framework can be used for systematic quantification of low-level visual features of architectural experience that account for the role of movement.

Keywords: Visual features; Virtual Reality; Architectural Experience; Fractal Dimension.


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