The Journal of
the Korean Institute of Interior Design

Bimonthly
  • ISSN : 1229-7992(Print)
  • ISSN : 2733-6832(Online)
  • KCI Accredited Journal

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Current Issue : Vol.33 No.5(통권 166호), 2024-10

All Issues

Identifying University Students’ Housing Perception and Spatial Behavior Changes after the COVID-19 Pandemic

박다연(Park, Da Yeon) ; 김미정(Kim, Mi Jeong)

http://doi.org/10.14774/JKIID.2024.33.5.001

As COVID-19 continued for a long time, containment and closure policies were implemented at the national level. The changes have tremendously impacted residential space. This study aims to analyze the changes in spatial behavior through daily activities in the New Normal era focusing on the physical and psychological aspects. The study targeted university students who took offline classes on housing concepts and theories. A survey was conducted firstly, and as a follow-up study, in-depth interviews were conducted. For the interview, students living with their parents were excluded. The results are as follows; first, even with smaller family sizes due to demographic changes and restrictions on space use and movement due to unpredictable events, more private spaces where people can interact with others should be planned near a residence. Second, because the existing structure of the residential environment has limitations in containing changed lifestyles and their experiences, more flexible plans must be considered to provide more adaptable spaces for various users.

Abstract Full Text PDF

A Study on the Characteristics of Bicycle and Pedestrian Roads for the Safety of Walking Environment

김동식(Kim, Dongsik) ; 권예진(Kwon, Ye-jin)

http://doi.org/10.14774/JKIID.2024.33.5.010

This study aims to analyze the current status of bicycle paths and pedestrian and bicycle paths in Haeundae-gu and to suggest improvement measures for problems. Korea achieved economic growth due to rapid industrialization and urbanization, but problems such as traffic congestion, environmental pollution, and climate change occurred due to the increase in the penetration rate of automobiles, which increased the interest in urban sustainability and eco-friendly transportation. Bicycles are attracting attention as an important means of transportation to solve these problems, but improvements are needed to ensure safety and efficiency in the design and operation of bicycle paths. As a result of the study, many sections with a high risk of collision between pedestrians and bicycle users were found on bicycle paths in Haeundae-gu, and it was found that there was a lack of clear distinction between pedestrians and bicycles to pass safely. In addition, the connection with public transportation is low, and clear information is not provided to bicycle users, causing confusion. In order to solve this problem, it is necessary to clearly distinguish between bicycle paths and pedestrian paths, install safety signs, and strengthen the connection with public transportation. By establishing a safe infrastructure centered on bicycle users by referring to overseas cases, it will be possible to increase bicycle utilization and contribute to the establishment of a sustainable transportation system in the city.

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A Study on the Concept of ‘High Resolution’ as Mark Foster Gage’s Architectural Thinking and Its Application as a Design Methodology

나성화(Na, Sung-Wha) ; 박찬일(Park, Chan-Il)

http://doi.org/10.14774/JKIID.2024.33.5.025

Mark Foster Gage’s high resolution architectural approach represents a bold departure from design traditions that place humans at the center of everything. His work is deeply informed by Object-Oriented Ontology(OOO), a philosophical movement that challenges anthropocentrism and proposes a flat view of the world where all objects, both human and non-human, hold equal ontological weight. To translate this philosophical stance into architectural form, Gage disrupts conventional design principles using kitbashing, fractal, and parafiction. These techniques undermine the sense of easy understanding or singular meaning typically conveyed by buildings, instead creating complex, multi-layered experiences. This study analyzes a range of Gage’s works, both built and theoretical, to explore how these methods manifest, highlighting their effectiveness in conveying complex theoretical concepts through architectural form. Gage’s emphasis on high resolution architecture is fundamentally about questioning the viewer’s relationship to the built world. His work challenges us to consider architecture as more than just functional backdrops, prompting reflection on the agency of architectural objects and how they shape our perceptions. In line with OOO, Gage’s focus on object autonomy and interconnectedness invites a profound reconsideration of our place within the built environment, urging us to step outside a purely human-centric perspective.

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Analysis of Interior Design Trends in Domestic Interior Platform Using Topic Modeling

노현정(Ro, HyeonJeong) ; 이예승(Lee, YeSeung)

http://doi.org/10.14774/JKIID.2024.33.5.037

The COVID-19 pandemic has significantly increased the amount of time people have spent at home, leading to a heightened interest in interior design. It has also boosted purchases through online platforms. Consequently, furniture and interior design companies that previously focused on offline sales have started to shift their focus to the online market. However, analysis of the online market is still lacking in the interior design industry, which has traditionally been dominated by offline market sales. This study proposes utilizing LDA (Latent Dirichlet Allocation) topic modeling to identify interior design trends by space, based on customer post data from online platforms. To empirically validate this approach, data from Hanssem Mall, leading the interior design market in South Korea, was used to extract interior design trends for each space. Our findings reveal that product-related topics dominate discussions in living rooms, children’s rooms, studies, and balconies. In contrast, brand-related topics are more significant in kitchens. Design-related topics are most relevant for bedrooms, dressing rooms, bathrooms, and dining rooms, while size and specification-related topics are prominent for entrance areas. These insights provide richer information compared to traditional trend analysis that only utilized post titles, enabling more accurate and detailed trend analysis by space. This study provides valuable insights into consumer interest in online platforms through real-world data.

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Innovation and Performance Analysis of Architectural Theory Education Using Generative AI

이상희(Lee, Sanghee)

http://doi.org/10.14774/JKIID.2024.33.5.045

This study aims to evaluate the educational impact of integrating generative AI tools into architectural theory courses by analyzing student learning outcomes and experience. The research applied the ADDIE model (Analyze, Design, Develop, Implement, Evaluate) to develop and implement a generative AI-integrated curriculum in a first-year architecture theory class. The study examined four key aspects through quantitative and qualitative methods: (1) understanding the relationship between architectural forms and language, (2)ease of use, (3)perceived advantages, and (4)perceived limitations of AI tools. The results showed that 78% of the students reported a positive impact on their understanding of architectural forms and language with an average satisfaction score of 3.84 out of 5. The ease of use was highly rated, with 84% of the students expressing satisfaction and an average score of 4.20, highlighting the intuitive nature of AI tools in architectural design visualization. Student feedback further identified four major advantages of using AI tools: 1)Efficient Image Creation and Time Savings, 2)Concrete Visualization of Abstract Concepts, 3)Creative Inspiration and Idea Generation, and 4)High-Quality Visual Representation. However, key limitations included 1)Need for Precise Commands and Limited Expression, 2)Image Distortion and Unreliability of Results, 3)Creativity Inhibition and Idea Constraints, 4)Lack of Design Control, and 5)Copyright and Ethical Concerns. Overall,ㅤthe integration of generative AI in architectural education was found to significantly enhance students' learning experiences by facilitating conceptual understanding and creative exploration. However, addressing specific challenges such as command precision, design control, and ethical considerations is crucial for maximizing its educational potential. This study offers a foundation for refining AI-integrated educational programs and suggests future research directions focusing on diverse student groups, broader AI tools, and long-term learning impacts.

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A Case Study on Architectural Design Education for Lower-Year University Students Using Generative AI

홍성근(Hong, Sung-Keun) ; 박종구(Park, Chong-Ku) ; 이근혜(Lee, Keun-Hye) ; 안은희(An, Eun-Hi)

http://doi.org/10.14774/JKIID.2024.33.5.057

This study is to conduct an in-depth analysis of how Generative AI is being adopted in interior design studio classes and how it may transform the design process. Interior design requires both creative thinking and technical skills, and the recent emergence of Generative AI technologies is bringing about methodological innovation in design education. This research focuses particularly on prominent AI tools such as ChatGPT, MidJourney, and PromeAI, exploring how they are being utilized in studio classes and examining their impact on students' learning processes and design outcomes. The results indicates that Generative AI tools significantly contribute to stimulating students' creativity and improving work efficiency throughout the entire design process, from brainstorming and visualization to design development and final products. The integration of AI has led to a more flexible and multi-dimensional evolution of the traditional design process, offering students more opportunities to explore and experiment with a wider range of design options. However, the study also reveals some limitations of AI tools, in that they do not always function perfectly, especially in tasks requiring intricate detail, and they often show significant discrepancy between user expectations and generated outcomes. This study demonstrates the potential of Generative AI as an innovative tool for enhancing creativity and efficiency in interior design education, and it suggests specific educational implications for the effective integration of these tools into classes. The results of this research can serve as a valuable foundation for assessing the role of AI tools in upcoming future interior design curricula.

Abstract Full Text PDF

Spatial Planning Indicators for Elderly Welfare Facilities

문자영(Moon, Ja-Young) ; 황연숙(Hwang, Yeon-Soo)

http://doi.org/10.14774/JKIID.2024.33.5.067

As Korea society, housing welfare issues for the elderly are becoming ever more prominent. In 2015, the government combined the provision of housing and welfare services for pensioners through the Senior Welfare Housing Project, allowing the elderly to enjoy their retirement years, living together in the community. The purpose of this study is to identify user-centered planning elements for the spatial design of welfare facilities for senior housing and to offer recommendations for enhancing spatial planning to support sustained community living in the future. The research method is an in-depth interview survey, and the subjects are a total of 24 seniors who use senior welfare housing welfare facilities in rural and urban areas. The overall usage status, needs, issues, and problems were investigated and analyzed. First, it is believed that senior welfare housing welfare facilities are well-established and allow seniors form communities to interact with neighbors. Second, the interview results showed that experiences at welfare facilities are not regional differences, but rather differ depending on the degree of a resident’s physical independence, the type of residence, and the purpose of use. Third, by utilizing the existing spatial planning indicators of the community's continued residence perspective, a new planning indicator reflecting the user’s perspective was derived. By providing a future improvement plan for welfare facilities in senior housing through this study, it is anticipated that accessibility within the local community will be crucial, allowing these facilities to serve as a key hub for medical and welfare services for the elderly. Most importantly, a comprehensive plan that integrates life, medical, and care services in a connected and holistic manner is necessary to meet the evolving needs of senior residents.

Abstract Full Text PDF

Developing a Generative AI Model Using Rhetoric Prompts

전희성(Jun, Hee-Sung)

http://doi.org/10.14774/JKIID.2024.33.5.079

Recently, Generative AI such as ChatGPT and Midjourney have been actively used in the field of indoor architecture and are being conducted in education and practice. However, there have been many studies mainly on tools that generate content or images for data and algorithms, and the importance of prompts in the interaction between users and artificial intelligence has been relatively less discussed. Therefore, in this study, we would like to study the possibility that AI can communicate with users using prompts that mimic rhetorical writing techniques and compare the two generative methods to increase the creative potential and response accuracy of AI models. This study compared the difference between the concept, keyword, spatial element, and reference image generated by rhetorical prompts using artificial intelligence and rhetorical writing, which are used to effectively convey the designer’s intention and derive ideas in the indoor architecture design process, and analyzed the differences in terms of conceptual expression, keyword efficiency, spatial element suitability, creativity, concreteness, consistency, and predictability. Most of the time, human rhetorical writing based on one's own experience, knowledge, and emotions produced better results in creativity, but rhetorical prompts using artificial intelligence showed better results in consistency, concreteness, and predictability. These results show the possibility that collaboration using humans and artificial intelligence can achieve high efficiency in indoor architectural design. In the future, it is expected that more creative and persuasive design results can be derived by efficiently combining human sensory creativity and logical consistency of artificial intelligence.

Abstract Full Text PDF

A Study on the Necessity of Applying Inclusive Design to Improve Access in Catholic Museums

이민(Lee, Min)

http://doi.org/10.14774/JKIID.2024.33.5.090

Based on that background, this study aims to assess the current status of Catholic museums by focusing on “accessibility” within the framework of inclusive design and to emphasize the need for such design to enhance museum experiences. To achieve this, church documents were analyzed to understand the distinctive characteristics of Catholic museums, and the concepts of inclusive design and accessibility were explored. These insights were then compared with accessibility practices currently implemented in museums around the world. Based on this analysis, a framework was developed to evaluate the accessibility of museums. Using various types of Catholic museums in Seoul as case studies, this research examined how these institutions are addressing accessibility issues through inclusive design. The results reveal areas where accessibility improvements are needed and provide recommendations for future enhancements.

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An Preliminary Study on a Healing Spaces for Adolescent Mental Health Using Virtual Reality

박정은(Park, Jung Eun)

http://doi.org/10.14774/JKIID.2024.33.5.102

Adolescents are facing serious mental health problems. Adolescence is a critical period for self-formation, making it essential to research healing spaces that support healthy activities for young people. Young people are very familiar with technology as they are part of the digital generation. Therefore, exploring youth spaces through virtual reality holds significant developmental potential and represents a suitable research approach. This study aims to collect domestic academic data and analyze research trends using text mining techniques, as a preliminary step toward investigating youth healing spaces through virtual reality, and to outline the direction for future studies. In the youth space environment study, a total of 68 papers were analyzed. In addition, 45 domestic research papers on healing using VR were analyzed. A network analysis of key terms in research on youth environments can help identify trends and critical insights. Additionally, applying cluster analysis can elucidate specific patterns in virtual reality-based healing research. The results show that keywords such as healing, psychology, and treatment are linked to topics including school environments, color therapy, and forest imagery in youth space research. Analysis of trends in virtual reality healing research indicates that correlations between natural environments and depression treatment, along with findings related to color psychology and stress, suggest promising applications for youth healing space research. This study has contributed to the development of future research on youth and provided guidance for advancing healing space research using virtual reality.

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