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아방가르드 실험적 주거성능분석을 위한 대화형 인공지능 기반의 디지털 휴먼 개발에 관한 연구
양홍주(Yang, Hongju),홍승완(Hong, Seung Wan) 대한건축학회 2023 대한건축학회 학술발표대회 논문집 Vol.43 No.2
The Avant-Garde architects experimental housing plans are pioneering, creative precedents to resolve the given tasks in contemporary architecture, but the resident-focused performance analysis and value-rediscovery are challenging because most of them are unbuilt and imaginary. To resolve the shortcoming, this study aims to develop a new simulation model that generates and customises the digital human schedules and behaviour rules through natural language processing-based conversational artificial intelligence (ChatGPT), in order to analyse the performance of the Avant-Garde housing related to resident behaviour. As a method, this study adopted the three experimental housings focused on residents’ lifestyles, and through ChatGPT, generated sociocultural behaviours of digital humans in two different historical periods. Visibility, density, and circulation were also measured to analyse housing performances. As a result, the simulation analysis indicates (1) the house performance factors, including home workability, privacy, and efficiency for household management, are different between 21st and 19th-century residents. This result demonstrates that the simulation model reflects the distinctive daily behaviours of residents in each era. (2) the simulation model also generates behavioural types, use durations, and places where to visit in order to compare and analyse heterogeneous design features of the housing. The findings of this study address that AI-powered behavioural generation of digital humans can be a means of evidence-based interpretation to discover hidden values in the Avant-Garde housing.
인간 행동 시뮬레이션을 응용한 외부 온열 환경 평가 프레임워크 개발
최미숙(Choi, Misook),양홍주(Yang, Hongju),송용준(Song, Yongjun),홍승완(Hong, Seungwan),박지영(Park, Jiyoung),김형섭(Kim, Hyoungsub) 대한건축학회 2023 대한건축학회 학술발표대회 논문집 Vol.43 No.2
This research presents a performance-based design framework for thermal walks in urban settings, using Outdoor Thermal Comfort (OTC) and human behavior simulation. The methodology distinctively incorporates both physical and social parameters into the OTC evaluation, allowing for their consideration in the early design stages a facet frequently neglected in traditional OTC research and design integration. We developed an algorithm to transition OTC data, sourced from ENVI-met, into the human behavior simulation environment of Unity 3D. Based on OTC levels, we examined the variations in human behavior, specifically in terms of pedestrian routes and timing. Test cases highlight the potential for human social factors to interact with the design process of outdoor comfort. This novel approach significantly advances the effectiveness of performance-based design, offering improved design decisions and yielding profound implications for outdoor spaces, landscapes, pedestrian pathways, and comprehensive urban planning strategies. Further tests, analyses, and design implementation cases will be undertaken in future research.