Associative Concept Network Analysis-Driven Insights for Deve ...
Abstract
Children with Autism Spectrum Disorder (ASD) often face sensory overload and motor difficulties, limiting their ability to focus and engage in educational settings. To address these challenges, this study proposes tailored seating solutions designed to enhance comfort and participation. Combining a literature review with Associative Concept Network Analysis (ACNA), the research identifies key concepts such as “comfort” and “calmness.” ACNA-generated associative words with high Out-Degree Centrality (ODC) scores guided designers in developing seating concepts, ensuring a data-driven foundation for the creative process. Leveraging these insights, design students employed GenAI’s Text-to-Image Generation (TTIG) tools to iteratively create nine seating prototypes, showcasing an innovative blend of data-driven analysis and AI-assisted design. Educators and parents evaluated these designs, selecting three for further refinement. Two prototypes were ultimately built and tested, incorporating sensory-friendly features like deep pressure therapy (DPT) and ergonomic materials. This research highlights the importance of inclusive design in fostering participation among children with ASD. By addressing their unique needs, the study helps reduce inequalities in educational settings and promotes the development of sustainable, inclusive communities.