Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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A Design Support Tool Driven by Design Recommendation based on User Preferences - Focusing on the process of selecting interior finishing materials for apartment houses -

사용자 선호 디자인 자동 추천에 의한 설계 지원 도구 - 공동주택의 실내 마감재 선정 과정을 중심으로 -

  • 김성준 (성균관대학교 미래도시융합공학과) ;
  • 김성아 (성균관대학교 건축학과)
  • Received : 2020.07.11
  • Accepted : 2020.11.18
  • Published : 2020.12.30
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Abstract

Aesthetic preference of residents for interior finishing materials is an important factor to consider in the process of determining finishing materials, but the related research is limited. In addition, in the case of multi-family houses, designers cannot provide an alternative that meets the preference of residents because designers create an interior design by guessing the preferences of the residents. This study proposes a design support tool that collects and analyzes review data of Airbnb and provides designers with interior design cases preferred by residents. The proposed design support tool extracts user preferences and material information about Airbnb's interior design case through text mining and deep learning and recommends them to the designer. A case study was conducted on 858 rooms in Airbnb located in Seoul to verify the proposed design support tool. The results indicate that it was possible to provide similar cases preferred by a large number of users to the designer, and the designer could modify the design based on recommendations.

Keywords

Acknowledgement

이 논문은 국토교통부의 스마트시티 혁신인재육성사업으로 지원되었습니다.

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