摘要
建筑的设计和空间的使用是建筑全生命周期中最为复杂和动态的两个环节,而其关键都是人的认知——设计过程中的设计认知和空间使用中的空间认知。研究用大数据方法研究人的环境行为,也将数据分析与人工智能用于对设计行为的分析和设计生成;尝试在广义的"空间认知"概念的基础上提出"人机结合的空间认知"方向,希望使用先进的计算机技术探索研究中的分析方法及实践中的生成方法,推动算法在理解空间、设计创新、空间体验等方面生成与人的认知结合的创新模式。
The most complex and dynamic phases of the life-cycle of architecture are the two phases related to human,the design and occupation of architectural space.These phases are both about cognition,i.e.the design cognition and the space cognition.In the research of the past years,we applied big data method in architectural environmental behavior analysis.We also used design cognition and artificial intelligence methods in design behavior studies and design generation.Based on these explorations,the research direction of Human-computer Integrated Spatial Cognition was proposed,in which the advanced computation technologies were used for studying the fundamental problems of architecture.The computation technologies provided both analyzing methods in research and generating methods in practice.It is expected the computation technologies will help people in understanding,creation and appreciation of space,and new models and efficient methods in spatial cognition would emerge.
作者
黄蔚欣
杨丽婧
苏夏
HUANG Weixin;YANG Lijing;SU Xia
出处
《新建筑》
2021年第2期4-10,共7页
New Architecture
基金
国家自然科学基金面上项目(51578299)。
关键词
设计认知
环境行为学
人工智能
大数据分析
生成式设计
人机交互
design cognition
environmental behavior
artificial intelligence
big data analysis
generative design
human-computer interaction
