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Showing 2 results for Designerly Approach
Kia Tadayon, Mahdavinjad Mahdavinjad, Azadeh Shahcheraghi,
Volume 5, Issue 2 (8-2024)
Abstract
Aims: Today, the use of artificial intelligence has grown significantly, and is developing as a new field. The main goal of this research is to know the capabilities of artificial intelligence in advancing the design and implementation process in the artificial environment. The practical goal of research is the development and application of the most important achievements of machine learning in the field of design.
Methods: The main research method is "meta-analysis" research in the paradigm of "free research" with a critical approach and basic design, which examines the general knowledge field of this field using broad techniques. Then, to consolidate the literature on the topic, through searching three reliable knowledge bases of this field, we collected articles related to machine learning in the fields of unsupervised learning methods, semi-supervised learning, and reinforcement learning; The most important capacities and shortcomings, and strengths and weaknesses are reviewed.
Findings: Quantitative findings from the combined data indicate that supervised machine learning and directed deep learning can be the best option to recommend in the future of design. While the learning process in deep learning is gradual and slower, supervised machine learning works faster in the testing phase.
Conclusion: The research emphasizes that supervised machine learning is the best option for predicting answers in the design process. But if, in addition to prediction, the issue of creativity in design is desired, deep learning is more efficient.
Volume 12, Issue 4 (1-2023)
Abstract
Aims: The spread of the COVID-19 threatens the citizens health, especially the elderly, in community spaces. The purpose of this article is to analyze the impact of the pandemic on the presence of vulnerable groups such as the elderly in community spaces, with the aim of providing lessons in order to be prepared for the post-Corona architecture and healthy environment.
Methods: The research method is "meta-analysis" of the documents and scientific reports development regarding the impacts of pandemic on architecture and planning. The research which was carried out with a comprehensive method and a designerly approach. The theoretical framework of the research is a synthesis of the highperformance architecture theory and theory of healthy environment. The methodology analyzes the strengths and weaknesses of urban community spaces in critical paradigm.
Findings: Studies show that after the spread of Corona virus and pandemic of COVID-19, the presence of the elderly and other vulnerable groups in urban spaces became less than before. As a result, urban spaces have moved towards polarization, which endangered the value and the quality urban spaces.
Conclusion: The outcomes of the study show that collective open spaces should be planned and designed based on an integrated approach to theories such as "healthy environment" and "healthy city" in order to allow the presence of vulnerable groups, especially the elderly in order to increase the quality of the urban environment. The performance-based design should span from visual-thermal comfort to pollution dispersion and healthy corridor design.
