Predictive Perspective for Assessing Visual Perception of Existing Libraries Architectural Forms by Generative Redesign

Sabry Hegazy, Hossam El-Din; Al-Sayed Al-Ebrashy, Mohamed

doi:10.21608/ijaeur.2022.282821

Predictive Perspective for Assessing Visual Perception of Existing Libraries Architectural Forms by Generative Redesign

Document Type : Original Article

Authors

¹ Architecture Department, Faculty of Fine Arts, Minya University, Egypt

² Architecture Department, Faculty of Engineering, Zagazig University, Zagazig

10.21608/ijaeur.2022.282821

Abstract

The preferences of both architects and users over time, and on occasion, major upkeep and repairs are required. There is no assurance that a building's original compositions will always be appreciated, nor that it will preserve its excellent standing. Once a structure has been constructed, there is no assurance that it will continue to be in good standing once it has been completed. Despite this, a building's reputation can be maintained despite the state in which it is currently located. The building will undergo certain extensions as a direct result of the necessary alterations. It is occasionally necessary to alter the structure's present shape or composition—some extensions being done to create additional space. The professionals assigned a relative weight to the essential components of the visual perception appreciation process, those components underwent reprioritization after their ranks were determined, and the experiment on regeneration adhered to the priorities that the specialists had specified. By using delphi techniques, in which experts were asked to evaluate the quality of the regenerated design, it was possible to validate and narrow down the options for the numerous forms generated from data and reduce the number of alternatives.
Because of this, the options built by artificial intelligence software to regenerate the forms using the priorities from
experts’ evaluation, which highlighted the order of interventions.

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