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Parsons School of Design MFA Design and Technology program theses2019 ➔ Objects in Limbo


Related people/organizations

Jungu Guo (designer)
James Auger (thesis advisor)
Christine Sugrue (thesis advisor)
Anna Harsanyi (thesis advisor)
Jesse Alexander Madden Harding (thesis advisor)


May 21 2019


Machine learning is taking computer intelligence to a whole new level. One of the tasks machine learning claims to excel at is image classification. Nevertheless, cases where machine vision fails are not uncommon. On one hand, moments of misclassification by machine learning indicated computer inability of quantitative nature. On the other hand, they points out human stereotype induced by qualitative mindset. “Objects in limbo” is a series of daily objects that are manually deformed in an incremental and performative manner until they stop being correctly recognized by an algorithm. The human-machine dialogue throughout the process generates a poetic layer of gestural meaning around the epistemology of what we see and what we think we see.



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