KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Author: search.filters.author.Bhutdhakomut, Bhumin

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    The Architectural Language of Biophilic Design After Architects Use Text-to-Image AI
    (2025-03-01)
    Thampanichwat, Chaniporn
    ;
    Wongvorachan, Tarid
    ;
    Sirisakdi, Limpasilp
    ;
    Somngam, Panyaphat
    ;
    Petlai, Taksaporn
    Biophilic design is an architectural concept that bridges the gap between modern buildings and the innate human longing for nature. In addition, it promotes physical and mental well-being while aligning with several Sustainable Development Goals. Recent research highlights that the architectural language used to describe the attributes of biophilic architecture remains unclear. Previous research has shown that text-to-image AI enhances architects’ ability to articulate their ideas more effectively. Therefore, this study aims to address the following research question: What are the architectural languages of biophilic design after architects use text-to-image AI? The initial step involves generating images of biophilic architecture by using three popular text-to-image AI tools: DALL-E 3, MidJourney, and Stable Diffusion. The 30 selected images were used to help architects develop the architectural language to describe the characteristics of biophilic design across 10 categories: Form, Space, Movement, Light, Color, Material, Object, View, Sound, and Weather. The terms obtained were analyzed using natural language processing (NLP) techniques, including word cloud analysis, frequency analysis, and topic modeling. The results indicate that the architectural language of biophilic design exhibits greater detail and clarity after architects utilize text-to-image AI. Nevertheless, in some instances, the language used to describe biophilic design is also constrained by the images generated by the text-to-image AI that the architects observe.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    A Systematic Review of Architecture Stimulating Attention through the Six Senses of Humans
    (2024-08-01)
    Thampanichwat, Chaniporn
    ;
    Meksrisawat, Pratsanee
    ;
    Jinjantarawong, Narongrit
    ;
    Sinnugool, Somchok
    ;
    Phaibulputhipong, Prima
    The climate change crisis is negatively impacting the mental health of people worldwide. Attention is a pivotal pathway to healing ourselves and the world, as it is a sensory process that enhances mental health and promotes sustainable behavior. Despite architecture’s potential to captivate all six human senses immediately, there is still a significant gap in research. Thus, this study aimed to identify architectural features that stimulate attention through the six human senses: visual, touch, auditory, olfaction, taste, and emotion. This review article was conducted by searching data from Scopus in February 2024, identifying 4844 related publications. After data screening following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 32 relevant and accessible research works were identified. Finally, data were extracted from the selected articles and analyzed using thematic analysis to explore their relevance to all six senses. The results reveal that the architectural features predominantly eliciting attention are mainly related to visual sensory stimuli. Closely following are the architectural features perceived through the emotional sense. The architecture that promotes attention is minimally associated with touch, auditory, and olfaction senses. Lastly, no architectural features were found to influence attention perceived through the sense of taste. Nevertheless, this study merely synthesizes data from previous research studies. Future research endeavors should validate this study’s findings for broader implications empirically.