Integrating visual language with architecture: Using VAS software to measure the coherence of pre-attentive vision

Abstract

Visual language has evolved as a result of technological development over ages. The pre-attentive visual software (VAS) is a biometric technique that is used to simulate human eye movement, gaze sequence, and visual appeal at the first (3-5) seconds of responding. Hence, the pre-attentive response is the first objective phase that is shared by all. The second phase of human responses is related to the perception stage depending upon personal and subjective preferences. Post-perception represents the third phase of responding after evaluation and judgment. While the Gestalt theory focuses on the perception phase, we find that the (15) properties of wholeness for Christopher Alexander deal with the post-perception phase. It is claimed that pre-attentive vision, produced by (VAS), is the actual way to perceive the coherent whole. The experimental approach of testifying different, but unified and neutralized, images of residential facades by (VAS) shows that architectural elements and their visual relations act as a coherent whole that attract our attention. The research goals are: promote the idea of objective pre-attentive vision and its attractiveness. also It is a trail to predict the coherence of designs. Accordingly, it is suggested to use (VAS) as a sensitive, detective and reliable tool in architectural design, artificial intelligence, neurosciences technology, plastic surgeries… Further investigations in the field of architecture are recommended to develop a new language of visual structures.