Street Design for Hedonistic Sustainability through AI and Human Co-Operative Evaluation
نویسندگان
چکیده
Recently, there has been an increasing emphasis on community development centered the well-being and quality of life citizens, while pursuing sustainability. This study proposes AI human co-operative evaluation (AIHCE) framework that facilitates communication design between designers stakeholders based emotions values is method for street space. AIHCE image recognition technology performs deep learning facial expressions both people city; namely, it consists a expression model (FERM) (SIEM). The former evaluates space pedestrian’s expression, latter target from prepared image. integrated these two models, enabling continuous objective with simultaneous subjective emotional evaluation, showing possibility reflecting in design. It expected to contribute fostering people’s awareness streets are public goods basic functions spaces regional characteristics residents, contributing improvement sustainability entire city.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2021
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su13169066