Optimization Strategy of Community Public Living Space Based on Emotional Interaction

Open Access
Conference Proceedings
Authors: Fuyong LiuXun GaoYong LiWanying Cheng

Abstract: As the most closely connected space in daily life, community public living space is the material carrier for residents to carry out various activities. The rapid development of community leads to the weakening of community public life, which leads to a series of problems. Community public living space has the characteristics of mixing, stage and transition. It is mainly manifested in the alienation and fission of social space such as community neighborhood space, psychological space, cultural space and public space. Grasp the perceptual characteristics of residents' life and the perceptual order of community space, guide residents' perceptual actions with vivid perceptual space, then release the elasticity, activity and viscosity of space, and establish a multi space governance community, so as to realize the integration and unity of community spatial structure and social structure production.Combining with the current community development trend and related research progress, this paper tries to build the concept of community public living space based on emotional interaction. Taking Guangzhou, Nanjing, Xi 'an and other urban communities as examples, the social users were investigated from different angles such as children's playground, epidemic prevention at home, and emotional interaction of community environment. Investigate the pain points and demands of community public living space at present, dig out the essential reasons behind them, and provide relevant data support for the later design optimization of community public living space. The gradual integration of public life and public space will meet the living needs of community residents, promote the integration of urban community space resources, stimulate the development vitality of existing communities and innovate new lifestyles.

Keywords: Emotional Interaction, Community Space, Design Optimization

DOI: 10.54941/ahfe1002719

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