Jieyu Zhou
Making authentic models and creating space on their own. In my project, the smart wall can change its color according to users’ facial expressions and twist based on users’ body movement. In this way, people less-informed of design knowledge engage in design process more actively.
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Design teams have found it difficult for all the stakeholders to reach a consensus. The platform is intended to solve this problem by using deep learning for quick generating schemes and Grasshopper for rapid evaluation. A community in West Oakland is used as a case study.
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Human-made and machine-trained algorithmic biases are rooted deeply in systemic issues. Some of the best efforts to address these biases have been from everyday users making noise about these issues. Our research focused on how we can support collaborative auditing of algorithmic biases to gain attention and push companies to create a more equal and fair online society.
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This is a website design for health drinking subscription. It contains 10 pages including details, shopping cart, customer login pages. The iterative design from the lo-fi model to the published website makes this platform operate well. Using JavaScript and HTML, customers can easily visit their shopping cart storage.
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This design aims at creating ecosystems that are benchmarks how cities should be in future. There will not be any cars or roads in the city. Instead, with the technology of automatic driving, each housing unit will have an elevator as its owner's car to transport them.
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