Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Analyzing Spatial Programs and Design Elements Using Deep Learning - Focused on Instagram Images of Lifestyle Hotels -

딥러닝 기반 공간 프로그램 및 디자인 요소 분석 - 라이프스타일 호텔의 인스타그램 이미지를 중심으로 -

  • Han, Yoojin (Dept. of Interior Architecture and Built Environment, Yonsei University) ;
  • Lee, Hyunsoo (Dept. of Interior Architecture and Built Environment, Yonsei University)
  • 한유진 (연세대학교 실내건축학과) ;
  • 이현수 (연세대학교 실내건축학과)
  • Received : 2023.07.23
  • Accepted : 2023.09.05
  • Published : 2023.09.30
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Abstract

This study aims to uncover the essential spatial programs and design elements that resonate with lifestyle hotel users. It utilizes deep learning methods with social big data to access authentic customer opinions in today's digital world. In this context, this research focuses on evaluating Instagram images of South Korean lifestyle hotels systematically collected using a Python web crawler developed by the researcher. The image dataset was initially analyzed using a pre-built computer vision model to explore spatial design elements. Subsequently, Convolutional Neural Networks (CNN) was applied to scrutinize images categorized as spatial in the previous stage, identifying crucial spatial programs. These findings emphasize the significance of decorative elements like furnishings, materials, textiles, and indoor greenery in shaping lifestyle hotel environments. Additionally, this research revealed that these hotels offer a range of services beyond accommodation, with a strong emphasis on Food and Beverage (F&B), banqueting facilities, and retail offerings. Ultimately, this study aims to expand and enrich the toolbox of big data analysis techniques and deep learning models in the field of architecture and spatial design, introducing a new paradigm for their application.

Keywords

Acknowledgement

이 연구는 2022년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행되었음(NRF-2022R1A6A3A01087469).

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