Abstract
This study examines the impact of computational design (CD) methods on designers, focusing on their potential to enhance problem-solving capabilities. Computational design offers a novel approach distinct from traditional design methods, yet its application within the architecture, engineering, and construction (AEC) sector - especially in interior design - remains underexplored. This research investigates how computational methods influence design processes, and cognition, thus contributing to the evolving landscape of design problem-solving. Methodology: A comparative analysis approach is adopted to evaluate the substitutability and effectiveness of computational methods in design tasks. Drawing on cognitive and metacognitive frameworks such as the Significant Learning Experiences framework, the study assesses how computational workflows impact designers’ reasoning process, design development, design hypothesizing, and solution testing. The research bridges cognitive theories of learning with computational design to identify overlaps and areas of divergence between human and machine-driven workflows. Outcomes and Implications: Findings demonstrate that computational design methods foster innovative problem-solving strategies by enhancing human-computer collaboration. Findings also support the development of metacognitive skills, such as reflective thinking and adaptive learning, which are less emphasized in traditional design approaches. Despite technological advancements, the research highlights the irreplaceable value of human designers in addressing the emotional and relational dimensions of design, reinforcing the need for balanced integration of computational tools. This study underscores the importance of human interaction and the presence of the designer; suggesting a collaborative future for computational and human-driven design processes.
Presenters
Somang YangVisiting Assistant Professor, School of Architecture, University of Texas at Arlington, Texas, United States Taneshia W. Albert
Associate Professor, Consumer and Design Sciences, Auburn University, Alabama, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Computational Design Interior Design Cognitive Processes Metacognition Human-Computer Collaboration
