Cheng-Kai Weng

We developed an evaluation index model for healing gardens designed using computer-aided design. The landscape therapy theory, innovative methodologies such as the fuzzy Delphi method, and the analytic hierarchy process (AHP) were integrated into the model. Three core design indices for healing gardens—somatosensory elements, visual components, and physical activity features—were identified and analyzed using the developed index model in this study. Plant diversity was identified as the most significant factor, followed by modeling aesthetics, color variety, plant healing properties, spatial recreational features, sensory richness, unobstructed circulation, and barrier-free design. While the developed evaluation index model has limitations, it is a novel and systematic model based on innovative computing methods to assess and enhance contemporary healing garden design.

This study aims to explore the differences in benefits between students using artificial intelligence (AI) technology, websites (such as Chat GPT), and those not using them in the process of interior design. The research will assess the impact of using AI technology on students' efficiency, creativity, and the quality, completeness, and professionalism of their design works in the interior design process. This study employs literature review, experimental methods, questionnaire surveys, and in-depth interviews to assist in data analysis. The experimental design used in the research compares the performance of students with similar knowledge backgrounds and skill levels in conducting interior design assignments with or without AI assistance. The results of the study will provide insights into students' attitudes, perceptions, and skill improvements when using AI technology in interior design, and will offer reference value for educational practices and future research.